Overview

Brought to you by YData

Dataset statistics

Number of variables11
Number of observations279
Missing cells11
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.2 KiB
Average record size in memory96.0 B

Variable types

Numeric11

Alerts

Consumer Sentiment is highly overall correlated with VIX IndexHigh correlation
Core Inflation is highly overall correlated with Industrial Production and 3 other fieldsHigh correlation
Industrial Production is highly overall correlated with Core Inflation and 4 other fieldsHigh correlation
Inflation (CPI) is highly overall correlated with Core Inflation and 3 other fieldsHigh correlation
Interest Rate is highly overall correlated with Unemployment RateHigh correlation
Retail Sales is highly overall correlated with Core Inflation and 4 other fieldsHigh correlation
S&P 500 Index is highly overall correlated with Core Inflation and 5 other fieldsHigh correlation
Trade Balance is highly overall correlated with S&P 500 Index and 1 other fieldsHigh correlation
Unemployment Rate is highly overall correlated with Industrial Production and 4 other fieldsHigh correlation
VIX Index is highly overall correlated with Consumer SentimentHigh correlation

Reproduction

Analysis started2025-04-21 23:02:19.126991
Analysis finished2025-04-21 23:02:36.286741
Duration17.16 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Trade Balance
Real number (ℝ)

High correlation 

Distinct278
Distinct (%)100.0%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean-51683.432
Minimum-130652
Maximum-25839
Zeros0
Zeros (%)0.0%
Negative278
Negative (%)99.6%
Memory size4.4 KiB
2025-04-21T19:02:36.459339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-130652
5-th percentile-77266.6
Q1-61987
median-46957
Q3-41003.25
95-th percentile-33980.3
Maximum-25839
Range104813
Interquartile range (IQR)20983.75

Descriptive statistics

Standard deviation15137.313
Coefficient of variation (CV)-0.29288522
Kurtosis3.6575497
Mean-51683.432
Median Absolute Deviation (MAD)8428.5
Skewness-1.4060535
Sum-14367994
Variance2.2913826 × 108
MonotonicityNot monotonic
2025-04-21T19:02:36.725435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-29678 1
 
0.4%
-43985 1
 
0.4%
-45463 1
 
0.4%
-42848 1
 
0.4%
-41593 1
 
0.4%
-41391 1
 
0.4%
-43854 1
 
0.4%
-42579 1
 
0.4%
-44227 1
 
0.4%
-40146 1
 
0.4%
Other values (268) 268
96.1%
ValueCountFrequency (%)
-130652 1
0.4%
-122662 1
0.4%
-101914 1
0.4%
-98062 1
0.4%
-87070 1
0.4%
-85565 1
0.4%
-85376 1
0.4%
-85014 1
0.4%
-84255 1
0.4%
-81215 1
0.4%
ValueCountFrequency (%)
-25839 1
0.4%
-27152 1
0.4%
-28778 1
0.4%
-29678 1
0.4%
-30193 1
0.4%
-30473 1
0.4%
-31161 1
0.4%
-31674 1
0.4%
-32501 1
0.4%
-33307 1
0.4%

Inflation (CPI)
Real number (ℝ)

High correlation 

Distinct272
Distinct (%)97.8%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean235.33747
Minimum177.7
Maximum319.775
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2025-04-21T19:02:36.931319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum177.7
5-th percentile183.07
Q1209.601
median233.1965
Q3255.228
95-th percentile308.89385
Maximum319.775
Range142.075
Interquartile range (IQR)45.627

Descriptive statistics

Standard deviation36.541557
Coefficient of variation (CV)0.15527301
Kurtosis-0.31262196
Mean235.33747
Median Absolute Deviation (MAD)22.231
Skewness0.56129769
Sum65423.818
Variance1335.2854
MonotonicityNot monotonic
2025-04-21T19:02:37.117853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193.7 2
 
0.7%
237.498 2
 
0.7%
198.1 2
 
0.7%
224.806 2
 
0.7%
191.7 2
 
0.7%
255.802 2
 
0.7%
243.618 1
 
0.4%
244.006 1
 
0.4%
243.892 1
 
0.4%
244.193 1
 
0.4%
Other values (262) 262
93.9%
ValueCountFrequency (%)
177.7 1
0.4%
178 1
0.4%
178.5 1
0.4%
179.3 1
0.4%
179.5 1
0.4%
179.6 1
0.4%
180 1
0.4%
180.5 1
0.4%
180.8 1
0.4%
181.2 1
0.4%
ValueCountFrequency (%)
319.775 1
0.4%
319.086 1
0.4%
317.603 1
0.4%
316.449 1
0.4%
315.564 1
0.4%
314.851 1
0.4%
314.131 1
0.4%
313.566 1
0.4%
313.14 1
0.4%
313.131 1
0.4%

Core Inflation
Real number (ℝ)

High correlation 

Distinct275
Distinct (%)98.9%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean240.17455
Minimum188.7
Maximum325.475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2025-04-21T19:02:37.274900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum188.7
5-th percentile192.5
Q1212.22275
median234.108
Q3262.162
95-th percentile313.40385
Maximum325.475
Range136.775
Interquartile range (IQR)49.93925

Descriptive statistics

Standard deviation36.171605
Coefficient of variation (CV)0.15060549
Kurtosis-0.40941167
Mean240.17455
Median Absolute Deviation (MAD)24.7495
Skewness0.64282909
Sum66768.524
Variance1308.385
MonotonicityNot monotonic
2025-04-21T19:02:37.455329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192.5 3
 
1.1%
194 2
 
0.7%
188.7 1
 
0.4%
254.344 1
 
0.4%
253.816 1
 
0.4%
253.526 1
 
0.4%
252.812 1
 
0.4%
252.535 1
 
0.4%
251.985 1
 
0.4%
251.746 1
 
0.4%
Other values (265) 265
95.0%
ValueCountFrequency (%)
188.7 1
0.4%
189.1 1
0.4%
189.2 1
0.4%
189.7 1
0.4%
190 1
0.4%
190.2 1
0.4%
190.5 1
0.4%
191.1 1
0.4%
191.3 1
0.4%
191.5 1
0.4%
ValueCountFrequency (%)
325.475 1
0.4%
324.739 1
0.4%
323.296 1
0.4%
322.619 1
0.4%
321.688 1
0.4%
320.835 1
0.4%
319.839 1
0.4%
318.933 1
0.4%
318.343 1
0.4%
318.053 1
0.4%

Interest Rate
Real number (ℝ)

High correlation 

Distinct125
Distinct (%)45.0%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean1.6656835
Minimum0.05
Maximum5.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2025-04-21T19:02:37.650357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.08
Q10.1325
median1.01
Q32.4075
95-th percentile5.26
Maximum5.33
Range5.28
Interquartile range (IQR)2.275

Descriptive statistics

Standard deviation1.8271595
Coefficient of variation (CV)1.0969428
Kurtosis-0.53664825
Mean1.6656835
Median Absolute Deviation (MAD)0.91
Skewness0.95184835
Sum463.06
Variance3.338512
MonotonicityNot monotonic
2025-04-21T19:02:37.799293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09 20
 
7.2%
0.08 16
 
5.7%
5.33 13
 
4.7%
0.16 11
 
3.9%
0.12 8
 
2.9%
5.25 8
 
2.9%
0.07 7
 
2.5%
0.14 7
 
2.5%
0.1 6
 
2.2%
0.15 5
 
1.8%
Other values (115) 177
63.4%
ValueCountFrequency (%)
0.05 2
 
0.7%
0.06 1
 
0.4%
0.07 7
 
2.5%
0.08 16
5.7%
0.09 20
7.2%
0.1 6
 
2.2%
0.11 5
 
1.8%
0.12 8
 
2.9%
0.13 5
 
1.8%
0.14 7
 
2.5%
ValueCountFrequency (%)
5.33 13
4.7%
5.26 3
 
1.1%
5.25 8
2.9%
5.24 2
 
0.7%
5.13 1
 
0.4%
5.12 1
 
0.4%
5.08 1
 
0.4%
5.06 1
 
0.4%
5.02 1
 
0.4%
4.99 1
 
0.4%

Industrial Production
Real number (ℝ)

High correlation 

Distinct278
Distinct (%)100.0%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean97.841851
Minimum84.6746
Maximum104.2202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2025-04-21T19:02:38.002972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum84.6746
5-th percentile88.44481
Q194.496475
median99.0169
Q3101.84117
95-th percentile103.31315
Maximum104.2202
Range19.5456
Interquartile range (IQR)7.3447

Descriptive statistics

Standard deviation4.8379084
Coefficient of variation (CV)0.049446207
Kurtosis-0.29600798
Mean97.841851
Median Absolute Deviation (MAD)3.2401
Skewness-0.81481489
Sum27200.035
Variance23.405357
MonotonicityNot monotonic
2025-04-21T19:02:38.171350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.4634 1
 
0.4%
100.128 1
 
0.4%
101.2493 1
 
0.4%
100.9893 1
 
0.4%
99.7482 1
 
0.4%
99.6323 1
 
0.4%
100.0865 1
 
0.4%
100.337 1
 
0.4%
100.0416 1
 
0.4%
98.7427 1
 
0.4%
Other values (268) 268
96.1%
ValueCountFrequency (%)
84.6746 1
0.4%
84.6812 1
0.4%
84.9436 1
0.4%
85.6853 1
0.4%
85.7903 1
0.4%
86.0108 1
0.4%
86.4689 1
0.4%
86.6393 1
0.4%
87.3821 1
0.4%
87.5809 1
0.4%
ValueCountFrequency (%)
104.2202 1
0.4%
104.1038 1
0.4%
104.0585 1
0.4%
104.0451 1
0.4%
104.0126 1
0.4%
103.9297 1
0.4%
103.6151 1
0.4%
103.5978 1
0.4%
103.5326 1
0.4%
103.4442 1
0.4%

Retail Sales
Real number (ℝ)

High correlation 

Distinct278
Distinct (%)100.0%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean448460.99
Minimum283508
Maximum730336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2025-04-21T19:02:38.339606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum283508
5-th percentile295547.2
Q1354954
median417195
Q3506864
95-th percentile699751.3
Maximum730336
Range446828
Interquartile range (IQR)151910

Descriptive statistics

Standard deviation124287.45
Coefficient of variation (CV)0.27714216
Kurtosis-0.35498455
Mean448460.99
Median Absolute Deviation (MAD)73147.5
Skewness0.84490195
Sum1.2467216 × 108
Variance1.544737 × 1010
MonotonicityNot monotonic
2025-04-21T19:02:38.543637image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
283508 1
 
0.4%
471630 1
 
0.4%
490013 1
 
0.4%
484848 1
 
0.4%
484163 1
 
0.4%
474449 1
 
0.4%
473552 1
 
0.4%
473546 1
 
0.4%
473986 1
 
0.4%
458375 1
 
0.4%
Other values (268) 268
96.1%
ValueCountFrequency (%)
283508 1
0.4%
284262 1
0.4%
284951 1
0.4%
285054 1
0.4%
287372 1
0.4%
288410 1
0.4%
288833 1
0.4%
289576 1
0.4%
290385 1
0.4%
291167 1
0.4%
ValueCountFrequency (%)
730336 1
0.4%
725079 1
0.4%
724535 1
0.4%
722944 1
0.4%
720393 1
0.4%
716388 1
0.4%
710851 1
0.4%
710038 1
0.4%
704309 1
0.4%
702681 1
0.4%

Consumer Sentiment
Real number (ℝ)

High correlation 

Distinct210
Distinct (%)75.5%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean81.419424
Minimum50
Maximum103.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2025-04-21T19:02:38.714743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile59.485
Q171.7
median82.5
Q392.6
95-th percentile98.4
Maximum103.8
Range53.8
Interquartile range (IQR)20.9

Descriptive statistics

Standard deviation12.624676
Coefficient of variation (CV)0.1550573
Kurtosis-0.95447718
Mean81.419424
Median Absolute Deviation (MAD)10.5
Skewness-0.3229983
Sum22634.6
Variance159.38244
MonotonicityNot monotonic
2025-04-21T19:02:39.043158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93 3
 
1.1%
98.2 3
 
1.1%
92.6 3
 
1.1%
91.2 3
 
1.1%
95.9 3
 
1.1%
63.7 3
 
1.1%
91.7 3
 
1.1%
73.6 3
 
1.1%
76.9 3
 
1.1%
82.5 3
 
1.1%
Other values (200) 248
88.9%
ValueCountFrequency (%)
50 1
0.4%
51.5 1
0.4%
55.3 1
0.4%
55.8 1
0.4%
56.3 1
0.4%
56.4 1
0.4%
56.7 1
0.4%
57.3 1
0.4%
57.6 1
0.4%
58.2 1
0.4%
ValueCountFrequency (%)
103.8 1
0.4%
101.4 1
0.4%
101 1
0.4%
100.7 1
0.4%
100.1 1
0.4%
100 1
0.4%
99.8 1
0.4%
99.7 1
0.4%
99.3 1
0.4%
98.8 1
0.4%

Unemployment Rate
Real number (ℝ)

High correlation 

Distinct65
Distinct (%)23.4%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean5.7996403
Minimum3.4
Maximum14.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2025-04-21T19:02:39.212489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile3.6
Q14.3
median5.3
Q36.7
95-th percentile9.6
Maximum14.8
Range11.4
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.9946227
Coefficient of variation (CV)0.3439218
Kurtosis1.2394543
Mean5.7996403
Median Absolute Deviation (MAD)1.1
Skewness1.1595056
Sum1612.3
Variance3.9785197
MonotonicityNot monotonic
2025-04-21T19:02:39.377831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.6 15
 
5.4%
5 13
 
4.7%
4.7 13
 
4.7%
5.7 10
 
3.6%
3.8 10
 
3.6%
5.8 9
 
3.2%
6.1 9
 
3.2%
5.4 9
 
3.2%
4.4 9
 
3.2%
3.7 8
 
2.9%
Other values (55) 173
62.0%
ValueCountFrequency (%)
3.4 1
 
0.4%
3.5 8
2.9%
3.6 15
5.4%
3.7 8
2.9%
3.8 10
3.6%
3.9 6
 
2.2%
4 8
2.9%
4.1 7
2.5%
4.2 6
 
2.2%
4.3 3
 
1.1%
ValueCountFrequency (%)
14.8 1
 
0.4%
13.2 1
 
0.4%
11 1
 
0.4%
10.2 1
 
0.4%
10 1
 
0.4%
9.9 4
1.4%
9.8 4
1.4%
9.6 2
0.7%
9.5 4
1.4%
9.4 4
1.4%

Manufacturing PMI
Real number (ℝ)

Distinct132
Distinct (%)47.5%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean53.003957
Minimum34.5
Maximum63.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2025-04-21T19:02:39.533328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum34.5
5-th percentile46.3
Q150.1
median53
Q356.3
95-th percentile60.415
Maximum63.8
Range29.3
Interquartile range (IQR)6.2

Descriptive statistics

Standard deviation4.8163626
Coefficient of variation (CV)0.090867983
Kurtosis1.3284019
Mean53.003957
Median Absolute Deviation (MAD)3.2
Skewness-0.69215525
Sum14735.1
Variance23.197349
MonotonicityNot monotonic
2025-04-21T19:02:39.679346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49 6
 
2.2%
51.4 5
 
1.8%
52.4 5
 
1.8%
55.7 5
 
1.8%
50.1 5
 
1.8%
46.3 4
 
1.4%
56.3 4
 
1.4%
50.8 4
 
1.4%
55.8 4
 
1.4%
60.8 4
 
1.4%
Other values (122) 232
83.2%
ValueCountFrequency (%)
34.5 1
0.4%
36.4 1
0.4%
36.6 1
0.4%
37.2 1
0.4%
38.2 1
0.4%
39 1
0.4%
39.9 1
0.4%
41.8 1
0.4%
43.5 1
0.4%
44.1 1
0.4%
ValueCountFrequency (%)
63.8 1
 
0.4%
61.6 1
 
0.4%
61.4 1
 
0.4%
61.3 1
 
0.4%
60.9 1
 
0.4%
60.8 4
1.4%
60.7 1
 
0.4%
60.6 2
0.7%
60.5 2
0.7%
60.4 1
 
0.4%

S&P 500 Index
Real number (ℝ)

High correlation 

Distinct278
Distinct (%)100.0%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean2214.7419
Minimum735.09
Maximum6040.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2025-04-21T19:02:39.857440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum735.09
5-th percentile916.7925
Q11208.2375
median1657.26
Q32909.7025
95-th percentile4781.203
Maximum6040.53
Range5305.44
Interquartile range (IQR)1701.465

Descriptive statistics

Standard deviation1314.9349
Coefficient of variation (CV)0.59371924
Kurtosis0.30280214
Mean2214.7419
Median Absolute Deviation (MAD)554.28
Skewness1.1310685
Sum615698.26
Variance1729053.8
MonotonicityNot monotonic
2025-04-21T19:02:40.025546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2384.2 1
 
0.4%
2575.26 1
 
0.4%
2519.36 1
 
0.4%
2471.65 1
 
0.4%
2470.3 1
 
0.4%
2423.41 1
 
0.4%
2411.8 1
 
0.4%
2362.72 1
 
0.4%
2173.6 1
 
0.4%
2363.64 1
 
0.4%
Other values (268) 268
96.1%
ValueCountFrequency (%)
735.09 1
0.4%
797.87 1
0.4%
815.28 1
0.4%
825.88 1
0.4%
841.15 1
0.4%
848.18 1
0.4%
855.7 1
0.4%
872.81 1
0.4%
879.82 1
0.4%
885.76 1
0.4%
ValueCountFrequency (%)
6040.53 1
0.4%
6032.38 1
0.4%
5954.5 1
0.4%
5881.63 1
0.4%
5762.48 1
0.4%
5705.45 1
0.4%
5648.4 1
0.4%
5522.3 1
0.4%
5460.48 1
0.4%
5277.51 1
0.4%

VIX Index
Real number (ℝ)

High correlation 

Distinct262
Distinct (%)94.2%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean19.535108
Minimum9.51
Maximum59.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2025-04-21T19:02:40.202071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9.51
5-th percentile11.536
Q113.7275
median17.115
Q323.09
95-th percentile34.2085
Maximum59.89
Range50.38
Interquartile range (IQR)9.3625

Descriptive statistics

Standard deviation8.0655446
Coefficient of variation (CV)0.41287433
Kurtosis4.7335213
Mean19.535108
Median Absolute Deviation (MAD)3.805
Skewness1.8775808
Sum5430.76
Variance65.05301
MonotonicityNot monotonic
2025-04-21T19:02:40.346942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.29 3
 
1.1%
12.92 3
 
1.1%
12.12 2
 
0.7%
25.61 2
 
0.7%
13.34 2
 
0.7%
15.29 2
 
0.7%
15.32 2
 
0.7%
15.5 2
 
0.7%
14.55 2
 
0.7%
19.4 2
 
0.7%
Other values (252) 256
91.8%
ValueCountFrequency (%)
9.51 1
0.4%
10.18 1
0.4%
10.26 1
0.4%
10.41 1
0.4%
10.42 1
0.4%
10.59 1
0.4%
10.82 1
0.4%
10.91 1
0.4%
11.04 1
0.4%
11.1 1
0.4%
ValueCountFrequency (%)
59.89 1
0.4%
55.84 1
0.4%
53.54 1
0.4%
46.35 1
0.4%
44.84 1
0.4%
44.14 1
0.4%
42.96 1
0.4%
40.11 1
0.4%
40 1
0.4%
39.69 1
0.4%

Interactions

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2025-04-21T19:02:23.737539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-04-21T19:02:33.706135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-04-21T19:02:40.501115image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Consumer SentimentCore InflationIndustrial ProductionInflation (CPI)Interest RateManufacturing PMIRetail SalesS&P 500 IndexTrade BalanceUnemployment RateVIX Index
Consumer Sentiment1.000-0.1880.069-0.1910.1270.314-0.134-0.0290.287-0.261-0.518
Core Inflation-0.1881.0000.6780.999-0.059-0.0510.9810.934-0.383-0.479-0.066
Industrial Production0.0690.6781.0000.6890.343-0.0030.7660.792-0.449-0.762-0.366
Inflation (CPI)-0.1910.9990.6891.000-0.052-0.0500.9840.939-0.394-0.485-0.073
Interest Rate0.127-0.0590.343-0.0521.000-0.3140.0270.099-0.440-0.669-0.304
Manufacturing PMI0.314-0.051-0.003-0.050-0.3141.000-0.0380.001-0.0740.079-0.207
Retail Sales-0.1340.9810.7660.9840.027-0.0381.0000.974-0.460-0.567-0.150
S&P 500 Index-0.0290.9340.7920.9390.0990.0010.9741.000-0.511-0.640-0.236
Trade Balance0.287-0.383-0.449-0.394-0.440-0.074-0.460-0.5111.0000.5120.091
Unemployment Rate-0.261-0.479-0.762-0.485-0.6690.079-0.567-0.6400.5121.0000.383
VIX Index-0.518-0.066-0.366-0.073-0.304-0.207-0.150-0.2360.0910.3831.000

Missing values

2025-04-21T19:02:35.630627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-04-21T19:02:35.786069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-04-21T19:02:36.055450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Trade BalanceInflation (CPI)Core InflationInterest RateIndustrial ProductionRetail SalesConsumer SentimentUnemployment RateManufacturing PMIS&P 500 IndexVIX Index
DATE
2002-01-01-29678.0177.7188.71.7388.4634283508.093.05.7NaNNaNNaN
2002-02-01-32501.0178.0189.11.7488.4578285054.090.75.747.51130.2121.09
2002-03-01-31161.0178.5189.21.7389.1265284262.095.75.750.71106.7321.59
2002-04-01-33965.0179.3189.71.7589.5507288833.093.05.952.41147.3917.40
2002-05-01-34026.0179.5190.01.7589.9348284951.096.95.852.41076.9221.91
2002-06-01-34732.0179.6190.21.7590.6736287372.092.45.853.11067.1419.98
2002-07-01-33913.0180.0190.51.7390.6436290385.088.15.853.6989.8125.40
2002-08-01-36385.0180.5191.11.7490.5505292650.087.65.750.2911.6232.03
2002-09-01-36088.0180.8191.31.7590.6373288410.086.15.750.3916.0732.64
2002-10-01-35095.0181.2191.51.7590.3988289576.080.65.750.5815.2839.69
Trade BalanceInflation (CPI)Core InflationInterest RateIndustrial ProductionRetail SalesConsumer SentimentUnemployment RateManufacturing PMIS&P 500 IndexVIX Index
DATE
2024-06-01-74180.0313.131318.3435.33103.2534702350.068.24.148.55277.5112.92
2024-07-01-79886.0313.566318.9335.33102.5192710851.066.44.248.35460.4812.44
2024-08-01-71444.0314.131319.8395.33103.0196710038.067.94.247.05522.3016.36
2024-09-01-85014.0314.851320.8355.13102.5954716388.070.14.147.55648.4015.00
2024-10-01-73727.0315.564321.6884.83102.2138720393.070.54.147.55762.4816.73
2024-11-01-78239.0316.449322.6194.64101.9619725079.071.84.246.95705.4523.16
2024-12-01-98062.0317.603323.2964.48103.1177730336.074.04.148.46032.3813.51
2025-01-01-130652.0319.086324.7394.33103.3418722944.071.74.049.25881.6317.35
2025-02-01-122662.0319.775325.4754.33104.2202724535.064.74.150.96040.5316.43
2025-03-01NaNNaNNaNNaNNaNNaNNaNNaN50.35954.5019.63